cluster (version 1.3-2)

plot.mona: Banner of Monothetic Divisive Hierarchical Clusterings

Description

Creates the banner of a mona object.

Usage

plot.mona(x, main = paste("Banner of ", deparse(attr(x, "Call"))),
          col = 2, axes = TRUE, adj = 0,
          nmax.lab = 35, max.strlen = 5,  ...)

Arguments

x

an object of class "mona", created by the function mona.

...

Graphical parameters (see par) may also be supplied as arguments to this function.

Side Effects

A banner is plotted on the current graphics device.

Details

Plots the separation step at which clusters are splitted. The observations are given in the order found by the mona algorithm, the numbers in the step vector are represented as bars between the observations. When a long bar is drawn between two observations, those observations have the same value for each variable. See chapter 7 of Kaufman and Rousseeuw (1990).

References

Kaufman, L. and Rousseeuw, P.J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York.

Struyf, A., Hubert, M. and Rousseeuw, P.J. (1997). Integrating Robust Clustering Techniques in S-PLUS, Computational Statistics and Data Analysis, 26, 17-37.

See Also

mona, mona.object, par.